Senior Data Scientist

About the role

As a Senior Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s underwriting. You will perform statistical analysis to provide data-driven insights. You will help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue in a safe and efficient manner.

Responsibilities

Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights

Large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations

Develop and refine statistical and machine learning models to assess cybersecurity risks with applications to underwriting and pricing.

Create comprehensive reports on underwriting efficiency metrics and risk selection quality to inform strategic decisions

Apply statistical techniques to evaluate and improve our cyber risk assessment methodology

Provide analytical support for underwriting strategies to balance growth with risk management

Identify, analyze, and implement opportunities to automate underwriting workflows using advanced analytics and data-driven strategies

Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements. Lead cross-functional initiatives in area of expertise.

Serve as both a technical lead and a mentor within the underwriting team.

Work alongside other data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition. Intellectual curiosity and proactive approach to identifying improvement opportunities

Skills and Qualifications

Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline)

5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry

Knowledge of underwriting, pricing, reserving, or risk management processes in insurance

Advanced SQL skills for querying complex databases and joining disparate data sources

Expertise in data manipulation and analysis using Python, R, or similar analytical tools

Experience with data visualization tools (e.g., Tableau, Power BI, Looker)

Experience with dashboard creation for operational metrics tracking

Strong communication and analytical skills

Capable of working with remote teams

Nice-to-have Skills

Actuarial qualification

Experience in cyber insurance or cyber security.

Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena)

Perks

100% medical coverage, including outpatient care

Life insurance

25+ paid holidays

Annual home office stipend

7% employer pension contribution

Mental and physical health wellness programs like Headspace, Wellhub

Competitive compensation and opportunity for advancement